Designing with Love

AI can write a quiz question in seconds, but it cannot tell you what your learners truly need or what’s ethical, accessible, and aligned. That’s the tension Jackie's unpacking as we continue the series Future Ready Learning: Designing Education for What Comes Next. If generative AI feels exciting and overwhelming at the same time, you’re not alone, and you’re not doing it wrong. The goal is not to ban AI or hand over the design process, but to use it with intention while keeping human judgment i

AI can make you faster, but it can also make you lazy. That tension sits at the center of Jackie's conversation with Dr. Dwayne Wood as we bring together the big ideas from our mini-series and get practical about using generative AI for innovative instructional design. We dig into rapid prototyping as one of the clearest wins: using AI to generate multiple starting points for activities, scenarios, and assessments so we can iterate quickly with stakeholders who are still figuring out what th...

2027 is closer than it feels, and the future of learning is already showing up in the tools we use, the questions learners ask, and the pressure to prove real value in education and training. Jackie is kicking off a new 14-part series, Future-Ready Learning, with a practical challenge for instructional designers and educators: stop treating “the future” like a shiny tech wishlist and start designing learning that helps people grow, adapt, and apply what they know in real contexts. We dig into t

The fastest way to ruin an adult learning experience is to start with a shiny tool and hope an outcome appears later. Jackie sat down with Dr. Dwayne Wood to get back to the foundations that keep instructional design effective, especially in online and asynchronous learning where motivation, time pressure, and cognitive load can make or break engagement. We dig into adult learning principles through a practical lens: problem-based and application-based outcomes that give learners a clear end st